Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
69 results about "Semantic computing" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
Semantic computing is a field of computing that combines elements of semantic analysis, natural language processing, data mining and related fields.
Adaptive Probabilistic Semantic System and Method
An adaptive probabilistic semantic computer-implemented system and method links semantic chains comprising subject, predicate, and object triples and an associated probability with behavioral-based chains comprising a system user, predicate, and object triples, and infers user preferences based on the linked chains. Recommendations are generated for delivery to system users based on the preference inferences. Explanations may be provided to recommendation recipients as to why they received recommendations, and the explanations may convey a sense of confidence in accordance with probabilistic semantic associations.
Owner:MANYWORLDS CONSULTING
Semantic computing method for improving word vector model
ActiveCN107291693AExtending the capabilities of semantic computingSemantic analysisUnstructured textual data retrievalPart of speechObject function
The invention provides a semantic computing method for improving a word vector model. The method comprises the following steps of S1, preprocessing a corpus; S2, tagging parts of speech and tagging the parts of speech of words obtained through preprocessing of the corpus; S3, initializing vectors and vectoring the words obtained through tagging of the parts of speech and the parts of speech; S4, integrating context vectors and computing and integrating context word vectors and part of speed vectors of the words; S5, establishing a Huffman tree, training a network, optimizing a target function and judging whether an error reaches a threshold value or not; S6, obtaining the vectors and obtaining the word vectors and the part of speed vectors; and S7, applying the vectors and carrying out semantic computing through application of the word vectors and the part of speed vectors. Compared with the prior art, the method has the advantages that a part of speech factor is added to the vectors, an existing Word2vec model is improved, moreover, innovative application is carried out according to the improved model, and a function of carrying out semantic computing through the Word2vec is expanded.
Owner:GUANGZHOU HEYAN BIG DATA TECH CO LTD
Intelligent review expert recommending method for science and technology projects
ActiveCN103631859AImprove recommendationsIntelligent RecommendationSpecial data processing applicationsRelevant informationSemantics
The invention provides an intelligent review expert recommending method for science and technology projects. The method includes the following steps that (1) the science and technology projects to be reviewed and expert information main texts are segmented into substring sequences, ICTCLAS segmentation of Chinese academy of sciences is carried out on the substring sequences, and stop word filtering is carried out on a segmentation result to obtain a term set; (2) a term network of project information is built, feature words are extracted on the basis of statistical characteristics and aggregation characteristics, and if expert information is relatively concise, the term set obtained in the step (1) directly serves as the feature words; (3) a knowledge representation model is built on the basis of fields and weights of the feature words, and a relative information index is built; (4) experts are recommended in groups to carry out feature merging operations between the fields and between the projects on the knowledge representation model; (5) similarity of the experts and the science and technology projects or groups to be viewed is calculated on the basis of semantics, threshold truncation is set, and a final recommended expert list is generated. By means of the method, the problems that recommending workload is large and review decisions lack scientificity are greatly alleviated.
Owner:HANGZHOU DIANZI UNIV
Mass disturbance warning method and system applied to short texts
ActiveCN104091054AGuaranteed timelinessImprove responseSpecial data processing applicationsA domainData mining
The invention discloses a mass disturbance warning method and system applied to short texts. The method comprises the following steps of automatically structuring a domain knowledge database applied to mass disturbances; combined with the domain knowledge database, performing local structured extraction and online classification on the short texts to screen out mass disturbance texts with potential risks from mass short texts; combined with the domain knowledge database, performing overall structured extraction and online clustering on identified short texts, and according to whether the number of short texts contained in every cluster exceeds a preset threshold value, determining whether to perform timely alarming. The mass disturbance warning method applied to the short texts has the advantages of fully integrating domain background knowledge, context, shallow semantic expression and deep semantic computation, achieving collaborative analysis and predication of mass disturbances and improving the timeliness, accuracy and recall rate of screening, tracking and alarming of the mass disturbances.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
Semantic task computing
Task Computing computer system by segmenting the system into a plurality of implementation tiers of a presentation layer, a remote procedure call programming interface (API), a middleware layer to which the presentation layer interfaces via the remote procedure call API to real-time, dynamically generate a computer implemented task interface at the presentation layer to a semantically described source of function as a service on a computer system, and a service layer and a function source realization layer providing the semantically described source of function as the service on the computer system to which the middleware layer interfaces. Real-time and dynamically composing an executable task that comprises one or more services using the generated task interface at the presentation layer to one or more services on the computer based upon the semantically described application-, device- and service-rich computer.
Owner:FUJITSU LTD
Man-machine interactive system and method for digital television voice recognition
InactiveCN102013254AAchieve interactionSpeech recognition is accurateSpeech recognitionSound input/outputData compressionSpeech identification
The invention discloses a man-machine interactive system and method for digital television voice recognition. The system comprises a target voice acquisition module, a voice analysis module, a semantic computation module and an intelligent control module, wherein the target voice acquisition module comprises a signal amplification module, a forward filtering module, a signal sampling module and a data compression and coding module; and the voice analysis module comprises a noise removal module, a feature extraction module and a decoding device. The method comprises the processes of target voice acquisition, voice noise removal, voice recognition processing, command recognition conversion and intelligent control processing. In the invention, through the cooperative work of the modules, a digital TV man-machine interactive technology for anti-interference voice intelligent identification and voice analysis and interaction under the digital TV reverberation acoustic environment of digital home life is achieved, and an advanced digital TV voice language interaction mode is provided.
Owner:广东中大讯通信息有限公司 +1
Method and system for excavating information of academic journal paper authors
ActiveCN102609546AChange data sourceImproving Semantic Computing EffectsSpecial data processing applicationsInformation repositoryInformation mining
The invention discloses a method and a system for excavating information of academic journal paper authors. The method comprises the steps: firstly selecting an objective subject field and establishing an OWL (Web Ontology Language) field ontology; secondly extracting author information from an academic journal paper of the objective subject field; thirdly performing the format conversion to the extracted author information, storing the information into an author information bank and calculating out the unique author ID (Identity); finally obtaining an incidence matrix of an author and an academic paper, an academic developing route chart of the author, a cooperator network diagram of the author, an academic cooperation distances among authors, a hot spot research direction map and an academic reputation map of the author by above information. According to the invention, the data source of the author information excavating method is changed; the OWL filed ontology technology is introduced into calculation processes of the academic cooperation distances among authors and the hot spot research direction; and the semantic calculation effect is improved.
Owner:TSINGHUA UNIV +1
Contract text risk detection method, device and equipment and storage medium
PendingCN109918635AImprove accuracyRealize risk detectionResourcesSpecial data processing applicationsSemantic matchingData mining
The invention discloses a contract text risk detection method, device and equipment and a storage medium, and relates to the fields of natural language processing, semantic calculation and the like, the method comprises the following steps: obtaining a clause classification model corresponding to a business field according to the business field to which a contract text to be detected belongs; using the clause classification model to classify clauses of the contract text to obtain the clause text of the contract text and a corresponding clause type; performing risk assessment on the clause textof each clause type, and determining the risk degree of the clause text of each clause type. According to the embodiment of the invention, the risk detection of the to-be-detected contract text is realized through the classification module and the deep semantic matching model which are obtained through training based on a large number of contract texts, risk reminding is carried out on a client,specific words or phrases and manual setting rules are not needed, and the contract text analysis and risk judgment accuracy is improved.
Owner:ZTE CORP
Automatic abstract generation method based on concept semantic unit
ActiveCN105320642AImprove user experienceImprove the sparse problemSpecial data processing applicationsComputation processDocument preparation
The invention relates to an automatic abstract generation method based on a concept semantic unit. The method comprises the steps that the concept semantic unit is utilized to serve as a carrier of semantic computation and document content representation; a semantic focus of document content is obtained through convergence of document semantic content; automatic generation of a document abstract formed by selecting abstract sentences representing the document content according to the semantic focus is achieved. According to the automatic abstract generation method based on the concept semantic unit, by means of a potential Latent Dirichlet Allocation (LDA) mode, modeling is conducted on a document theme, theme generation treatment is achieved, and the abstract sentences are selected according to the importance degree of the theme. In the computation process, a concept hierarchy network symbol is introduced, merging to semantic information is achieved by means of semantic hierarchy relations in the concept hierarchy network symbol, and the data sparsity problem caused by taking a word as a semantic computation unit is improved.
Owner:INST OF ACOUSTICS CHINESE ACAD OF SCI
Special word list dynamic generation system and method
ActiveCN101079024AImprove accuracyLow costSpecial data processing applicationsSemantic vectorWord list
The invention discloses a specialized vocabulary meter dynamic generating system, which is characterized by the following: basing on theme semantic vector; proceeding professional sort or cluster document sort module and specialized vocabulary meter generating module for correspond document; extracting finite quantity and a professional sort document text with the specialized vocabulary meter; calculating weight for all vocabulary in the text; ordering with the size of the weight value; choosing the front N vocabulary as specialized vocabulary meter of relative professional sort. This invention also disclose a specialized vocabulary meter dynamic generating method. This invention possesses high accuracy and low cost, which can proceed dynamic updating maintenance for specialized vocabulary meter.
Owner:TENCENT TECH (SHENZHEN) CO LTD
Semantic-computing-based interaction system and method for person with hearing or language disorder
InactiveCN102708866AIncrease intensityImprove completenessSpeech recognitionTransmissionInteraction systemsAnimation
The invention relates to a semantic-computing-based interaction system and a semantic-computing-based interaction method for person with hearing or language disorder. The system is characterized by comprising two parts, namely portable terminals and a cloud-computing-based cloud server, and comprises at least two types of portable terminals, namely a first-type portable terminal and a second-type portable terminal or a portable terminal combining the two types of terminals. The portable terminals are used for performing related computing, data also can be uploaded to the cloud server for accurate computing, then a result is returned to the portable terminals, and different users can customize different semantic dictionaries. The system and the method have the advantages that words spoken by normal person are converted into the animation display of hand signs, so that the normal person can transmit information to the person with the hearing or language disorder without barriers; and the hand signs of the person with the hearing or language disorder can be converted into voices for play or into texts for display, so that interaction between the normal person and the person with the hearing or language disorder is further facilitated.
Owner:WUHAN UNIV
Computing method, search processing method, computing device and search processing device for sentence similarity
ActiveCN104462327AAccurate Sentence Similarity DataSearch results are accurateSpecial data processing applicationsAlgorithmSentence similarity
The invention provides a computing method, a search processing method, a computing device and a search processing device for sentence similarity realized through a computer. The computing method comprises the following steps: obtaining a first sentence and a second sentence; carrying out dependency analysis on the first sentence and the second sentence respectively to obtain a first dependency tree and a second dependency; computing the sentence similarity of the first sentence with the second sentence according to the first dependency tree and the second dependency tree. The search processing method comprises the following steps: receiving a query sentence; obtaining at least one search result item according to the query sentence; respectively computing the semantic similarity of the query sentence and the semantic similarity of the search result items through the computing method for sentence similarity realized through the computer; ordering the search result items according to the computed value of the semantic similarity; sending the search result items through ordering. More accurate sentence similarity can be computed according to the semanteme of sentences, and the search results are more accurate.
Owner:BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
Method for information recommendation in could environment based on data semantics
InactiveCN104598474AImprove real-time performanceImprove robustnessSpecial data processing applicationsInodeRecommendation quality
The invention relates to a method for information recommendation in a could environment based on data semantics. The method achieves the information recommendation through a basic data and user preference information semantization module, a could environment mass semantic information indexing module and a semantic calculation based information recommendation module to achieve the information recommendation, wherein the basic data and user preference information semantization module obtains basic data and user preference information through a cloud platform and conducts semantization description on the basic data and the user preference information to form a basic data and user preference information body library, the could environment mass semantic information indexing module establishes an indexing structure for semantic information and performs index division and regrouping when indexing nodes are overload, the semantic calculation based information recommendation module conducts semantic calculation on the basic data and user preference information body to obtain an information recommendation result. Compared with the prior art, the method for information recommendation in the could environment based on data semantics has the advantages of being good in real-timeliness, high in robustness and recommendation quality and the like.
Owner:TONGJI UNIV
Real-time interactive intelligent digital virtual character expression driving method and system
InactiveCN110211582APromote generationHave an emotional interactive experienceAnimationSpeech recognitionAnimationHuman–computer interaction
The invention discloses a real-time interactive intelligent digital virtual character expression driving method, and relates to the technical field of virtual character expression acquisition. The real-time interactive intelligent digital virtual character expression driving method comprises the following steps that S1, user speech information is collected, and the obtained speech information is outputted; S2, the obtained speech information is parsed to obtain text information corresponding to the speech information, the text information is subjected to semantic computation, and meanwhile a response is obtained; and S3, the obtained response is converted into speech, and the speech is converted into expression animation data in order to drive a virtual character to make a corresponding expression. The real-time interactive intelligent digital virtual character expression driving method has the beneficial effects that generation of expression animation is greatly simplified, the real-time interactive intelligent digital virtual character expression driving method can be widely applied to scenes such as intelligent speakers, intelligent robots, and chat robots so that the products are anthropomorphized, emotional interaction experience is achieved, and users can interact face to face with the virtual character.
Owner:量子动力(深圳)计算机科技有限公司
Classifier construction method based on semantic computation, and classifier
ActiveCN108388914AFlexible trainingFlexible switchingCharacter and pattern recognitionSpecial data processing applicationsAlgorithmWeighted average method
The invention belongs to the technical field of information retrieval and database structure, discloses a classifier construction method based on semantic computation, and a classifier. A neural network model is used to train word vectors on Wikipedia data to obtain distributed representation of words; vector representation of a classification is obtained through a classification label, and a weighted average method is used to obtain vector representation of a text; and by calculating the semantic relationship between a classification vector and a text vector, the most likely classification towhich the text belongs is obtained. The unsupervised learning phase does not need to data labeling, and only needs a user to define a small number of feature words to complete the creation of the classifier, the online speed is fast, and there is no need to wait for long label data accumulation; the unsupervised learning stage can make full use of the existing limited label data, and guide and improve unsupervised classification by extracting valid feature words.
Owner:GLOBAL TONE COMM TECH
Sql injection detecting method based on characteristic pattern recognition
InactiveCN107451473AReduce false positivesImprove work efficiencyPlatform integrity maintainanceTransmissionSQL injectionApplication software
The invention discloses an sql injection detecting method based on characteristic pattern recognition. The method comprises the following steps that (1-1) based on sql parsing and sql semantic analysis, an abstract syntax tree database of sql injection characteristic patterns is generated; (1-2) network traffic from an application program to a database is acquired, the network traffic is analyzed based on a database protocol, and complete sql sentences are extracted from the network traffic; (1-3) sql sentence parsing is conducted on the acquired sql sentences, and syntactic units of the sql sentences are acquired; (1-4) sql semantic analysis is conducted on the syntactic units of the sql sentences, semantic calculation is carried out, and a target abstract syntax tree simplified by calculation is generated. The sql injection detecting method has the advantages that false or missing reports are reduced and the working efficiency is improved.
Owner:杭州美创科技股份有限公司
Intelligent retrieval method and device for calculating patent literature similarity based on word frequency and semantics, electronic equipment and storage medium thereof
ActiveCN112257419AImprove retrieval speedNarrow down the comparisonSemantic analysisCharacter and pattern recognitionPatent literatureSemantics
The invention provides an intelligent retrieval method and device for calculating patent literature similarity based on word frequency and semanteme, electronic equipment and a storage medium of the electronic equipment. Bag-of-words statistics and word vector calculation are conducted on all literatures in a patent database, and corresponding bag-of-words data and word distance data are obtained;the method comprises the following steps: establishing a model, inputting contents or examination question numbers, acquiring titles, abstracts, claims and specifications of patents to be examined from question bank data and carrying out various combinations, performing rough selection and fine selection respectively according to a bag-of-words algorithm and a semantic algorithm, performing textsimilarity analysis on selected data, and performing fusion sorting on analysis results to obtain comprehensive similarity. Through duplicate checking and screening, a suspicious answer set of the to-be-checked patent is given. According to the method, the retrieval speed is increased, two rounds of screening are adopted, the first round of roughing aims at rapidly narrowing the comparison range,and the second round of fine selection aims at improving the accuracy; manpower and time can be effectively saved, a patent reviewer is helped to reduce the related patent review range, and review efficiency is improved.
Owner:北京知呱呱科技服务有限公司
Intelligent workshop multi-source heterogeneous manufacturing big data integration model and semantic calculation method
The invention discloses an intelligent workshop multi-source heterogeneous manufacturing big data integration model and a semantic calculation method. According to the method, a first procedure servesas a root node, and a processing time sequence flow serves as a model stem of the model in an evolution direction; all processing procedures serve as branch nodes, resources relevant to the procedures are associated, branches are formed through derivation, and real-time data obtained in the manufacturing process serves as leaf nodes of the intelligent workshop multi-source heterogeneous manufacturing big data integration model to establish the model; and comprehensive processing progress information, equipment load information and product circulation and logistics trolley transportation trackinformation of products in a workshop are obtained through a calculation formula, and description, association, fusion, mining, semantic calculation and knowledge evolution of multi-source heterogeneous manufacturing big data are realized through the dimensions, granularity, mass and other aspects of the associated manufacturing data.
Owner:CHANGAN UNIV
Semantic task computing
The present invention relates to semantic task computing. A task computing computer system that divides the system into a plurality of implementation layers, namely, a presentation layer, a remote procedure call programming interface (API), a middleware layer, and a service layer and a function source implementation layer, via remote procedure Call API to interactively connect the presentation layer to the middleware layer, so as to generate real-time and dynamic computer-implemented task interfaces for the functional sources described as services on the computer system in the presentation layer. The service layer and the functional source implementation layer provide Described semantically as a functional source of a service on a computer system, the middleware layer is interactively connected to the service layer and the functional source implementation layer. Rich applications, rich devices, and rich service computers based on semantic descriptions use the generated task interfaces in the presentation layer to compose executable tasks in real time and dynamically for one or more services on the computer system. The executable tasks include one or more More services.
Owner:FUJITSU LTD
Personalized multi-view federal recommendation system
PendingCN114564641APrivacy protectionGood explainabilityDigital data information retrievalCharacter and pattern recognitionPersonalizationFeature mining
The invention discloses a personalized multi-view federal recommendation system, which comprises a central server and a plurality of user clients, and any user client comprises a training module and a prediction module; wherein the training module comprises a data distribution sub-module, a gradient calculation sub-module, a gradient aggregation sub-module, a model updating sub-module, a model fine tuning sub-module, a user data warehouse and an article data warehouse which cooperate with one another to complete execution of a training algorithm, and a user sub-model and an article sub-model are obtained; and the prediction module comprises a semantic calculation sub-module, an interactive calculation sub-module, a probability aggregation sub-module, a probability sorting sub-module, a recommendation output sub-module, a user model warehouse and an article model warehouse which cooperate with one another to complete execution of a prediction algorithm and obtain a recommended article sequence corresponding to any user client. According to the method, the scene adaptability is higher, the feature mining of the underlying model is deeper, the data source covered by the original input is wider, and the localization fine tuning of the global model is better.
Owner:EAST CHINA NORMAL UNIV +1
Bandwidth-saving video transmission method
InactiveCN111246176ARealize text transmissionReduce bandwidth resourcesCharacter and pattern recognitionClosed circuit television systemsTelecommunicationsVideo transmission
The invention provides a bandwidth-saving video transmission method. According to the method, video data are deconstructed into text semantic information at a sending terminal to realize textualized transmission of key information; and the text semantic information is constructed into a reconstructed image consistent with the semantic information of an original target image at a receiving terminalbased on an image generation technology. Therefore, different forms of computing capabilities are given to each part in the communication network structure; specifically, a mode of endowing a sendingterminal with a video data feature semantic computing capability and endowing a receiving terminal with a semantic generation image computing capability is adopted, and an original local centralizedcomputing communication mode is converted into a cooperative diversity computing communication mode, so that the bandwidth and storage resources are greatly reduced, and the transmission, storage andretrieval efficiency is improved.
Owner:北京中科晶上科技股份有限公司
Method for generating caption of cartoon leader and tail leader
ActiveCN101441778ASolve more labor-intensiveSolve financial problemsAnimation3D-image renderingAnimationSoftware engineering
The invention provides a method for generating animation head leader captions and tail leader captions, which comprises the following steps: 00) establishing a NarLog caption language source file of which each line comprises an attribute name and an attribute value; 10) performing syntactic analysis on each line of the Narlog caption language source file to identify the attribute type of the line; 20) if the attribute type is a display attribute, performing semantic computation on an animation attribute under the current context according to the display attribute of the current context so as to generate a script subroutine, deleting the animation attribute under the current context, and using the display attribute to update the context; 30) if the attribute type is the animation attribute, adding the animation attribute to the current context; and 40) making use of a Maya script editor to execute the generated subroutine so as to generate the captions through rendering. The method can solve the problem that handmade animations consume more manpower and financial resources, and can generate the animation head leader captions or the tail leader captions automatically.
Owner:INST OF COMPUTING TECH CHINESE ACAD OF SCI
Signal semantic recognition method based on multistage semantic representation and semantic calculation
ActiveCN112528873AImprove interpretabilityAvoid the defect of insufficient generalization abilityCharacter and pattern recognitionNeural architecturesSemantic representationSemantic computing
The invention provides a semantic recognition method based on multistage semantic representation and semantic calculation, and mainly solves the problems of poor interpretability and low generalization ability of signal semantic recognition in the prior art. The implementation scheme of the method comprises the steps of collecting a training set and a test set; constructing a signal semantic recognition network composed of cascaded multistage semantic representation networks and semantic computing networks so as to carry out learnable multistage semantic representation on the signals, and computing semantic categories of the signals according to the semantic representation; setting a semantic representation loss function and a cross entropy loss function to train the multistage semantic representation network and the semantic computing network in sequence to obtain a trained signal semantic recognition network; and obtaining a semantic recognition result of the to-be-recognized signalbased on the trained signal semantic recognition network. According to the method, the interpretability and generalization ability of signal semantic recognition are effectively improved. The method can be used for man-machine interaction and semantic information retrieval.
Owner:XIDIAN UNIV
Report generation method and device, electronic equipment and computer readable storage medium
PendingCN114707474AFix inefficiencies when spawningAdd field formSemantic analysisSoftware engineeringDatabase connection
The invention relates to an artificial intelligence technology, and discloses a report generation method, which comprises the following steps: acquiring a configuration demand of a user, and extracting demand semantics of the configuration demand; calculating a matching value between the demand semantics and a configuration label of each preset configuration in a plurality of preset configurations, and selecting the preset configuration corresponding to the configuration label with the maximum matching value as a target configuration; obtaining a data list initial framework, and configuring the data list initial framework according to the target configuration to obtain a target framework; and performing database connection configuration on the target framework to obtain a data list. In addition, the invention also relates to a block chain technology, and the data list can be stored in the nodes of the block chain. The invention further provides a report generation device, electronic equipment and a storage medium. The report generation efficiency can be improved.
Owner:PINGAN PUHUI ENTERPRISE MANAGEMENT CO LTD
Travel intention prediction method based on double-attention graph embedded network
PendingCN114444794AImprove privacyImprove practicalityReservationsForecastingPrediction probabilityCharacteristic space
The invention particularly relates to a travel intention prediction method based on a double-attention graph embedded network. The travel intention prediction method comprises the following steps: establishing a travel intention prediction model; obtaining travel track data of the user and corresponding interest point sign-in data; the method comprises the following steps: firstly, aggregating travel trajectory data and interest point sign-in data through a travel intention prediction model to enhance activity semantics corresponding to a time-space situation, a starting point interest point situation and an end point interest point situation; embedding comprehensive activity semantics of the travel intention extracted in the advanced feature space based on the space-time situation, the starting point interest point situation and the terminal point interest point situation through the double attention graph; finally, the prediction probability of each candidate activity is calculated based on the comprehensive activity semantics of the travel intention; and taking the candidate activity with the highest prediction probability as the predicted travel intention of the user. According to the travel intention prediction method, personal sensitive information of the user does not need to be obtained, so that the privacy and practicability of travel intention prediction can be improved.
Owner:CHONGQING UNIV
Customer interaction and experience system using emotional-semantic computing
ActiveUS10311454B2Mathematical modelsDigital data information retrievalKnowledge managementSemantic computing
Owner:VONAGE BUSINESS LIMITED
Mapping method from WordNet to Neo4J, semantic detection method and semantic calculation expansion interface generation method
ActiveCN110263178AHigh speedRealize the upgradeability of the semantic detection functionSemantic analysisEnergy efficient computingSemantic computingSynonym
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Method and device for positive and negative analysis of Chinese comments
InactiveCN101751431AImprove accuracySpecial data processing applicationsAnalysis methodSemantic computing
Owner:PEKING UNIV +2
Complex equipment manufacturing BOM intelligent decomposition method based on semantic calculation
PendingCN112270615AImprove accuracyImprove recallData processing applicationsCharacter and pattern recognitionFeature extractionManufacturing intelligence
The invention discloses a BERT-TextCNN-based complex equipment manufacturing BOM intelligent decomposition method, which comprises the following steps of: firstly, performing text preprocessing on a manufacturing BOM through three steps of category labeling, semantic expansion and stop word removal; secondly, performing vectorization description on the preprocessed BOM text statement through an embedding marking method, an MLM mechanism and an NSP mechanism; and finally, performing feature extraction and classification on the vectorized BOM text statements by utilizing a BERTTextCNN, and realizing intelligent decomposition of the complex equipment manufacturing BOM according to four types of necessary self-made parts, necessary outsourcing parts, non-necessary self-made parts and non-necessary outsourcing parts. The method has the characteristics of low cost and high efficiency.
Owner:XIAN UNIV OF POSTS & TELECOMM
Space querying method based on interaction-type sketch
InactiveCN107609036AReduce complexityOperableSpecial data processing applicationsScene matchingSemantics
The invention discloses a space querying method based on an interaction-type sketch. The method is suitable for use in electronic map-oriented fuzzy scene querying, solves contradiction between increasingly-rich geographical data and a single current space querying mode and result display form, and includes the following steps: (1) providing a space querying-oriented sketch scene construction environment, in which elements can be drawn through strokes in a drawing process, and forms of tags and the like can be utilized to input attribute information of the elements; (2) calculating space relationships between the sketch elements; (3) constructing a semantic graph of a sketch scene; (4) calculating scene similarity on the basis of semantics; and (5) outputting similar space scene querying results. According to the method, the interaction-type sketch is applied to space querying, multi-element scene matching is converted into semantic similarity degree calculation, and modes of geographical information retrieval can be effectively expanded.
Owner:NANJING UNIV OF POSTS & TELECOMM
Features
- R&D
- Intellectual Property
- Life Sciences
- Materials
- Tech Scout
Why Patsnap Eureka
- Unparalleled Data Quality
- Higher Quality Content
- 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com